Interictal Epileptiform Discharges and HFO detected in intraoperative electrocorticography using neuromorphing computing
Filippo Costa, Johannes Sarnthein, Giacomo Indiveri, and colleagues designed a modular spiking neural network in a neuromorphic device with heterogeneous silicon neurons, that remotely detects epileptiform discharges and high-frequency oscillations in intraoperative ECoG during epilepsy surgery in real-time.
2024
Costa F, Schaft E, Huiskamp G, Aarnoutse E, Van’t Klooster M, Krayenbühl N, Ramantani G, Zijlmans M, Indiveri G, Sarnthein J
Robust compression and detection of epileptiform patterns in ECoG using a real-time spiking neural network hardware framework Journal Article
In: Nature Communications, vol. 15, no. 1, pp. 3255, 2024.
@article{pmid38627406,
title = {Robust compression and detection of epileptiform patterns in ECoG using a real-time spiking neural network hardware framework},
author = {Costa F and Schaft E and Huiskamp G and Aarnoutse E and Van't Klooster M and Krayenbühl N and Ramantani G and Zijlmans M and Indiveri G and Sarnthein J},
url = {https://www.nature.com/articles/s41467-024-47495-y.pdf, PDF here},
doi = {10.1038/s41467-024-47495-y},
year = {2024},
date = {2024-04-16},
urldate = {2024-04-01},
journal = {Nature Communications},
volume = {15},
number = {1},
pages = {3255},
keywords = {},
pubstate = {published},
tppubtype = {article}
}